JP2023548253A - 医学検査値分析を実行するためのコンピュータ実装された方法、及び、装置 - Google Patents
医学検査値分析を実行するためのコンピュータ実装された方法、及び、装置 Download PDFInfo
- Publication number
- JP2023548253A JP2023548253A JP2023550352A JP2023550352A JP2023548253A JP 2023548253 A JP2023548253 A JP 2023548253A JP 2023550352 A JP2023550352 A JP 2023550352A JP 2023550352 A JP2023550352 A JP 2023550352A JP 2023548253 A JP2023548253 A JP 2023548253A
- Authority
- JP
- Japan
- Prior art keywords
- test
- value
- historical
- time
- values
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 44
- 238000004458 analytical method Methods 0.000 title claims abstract description 11
- 238000010339 medical test Methods 0.000 title claims abstract description 10
- 238000012360 testing method Methods 0.000 claims abstract description 243
- 230000007704 transition Effects 0.000 claims abstract description 10
- 238000012549 training Methods 0.000 claims description 17
- 230000002159 abnormal effect Effects 0.000 claims description 9
- 238000013528 artificial neural network Methods 0.000 claims description 6
- 230000001419 dependent effect Effects 0.000 claims description 5
- 238000012706 support-vector machine Methods 0.000 claims description 5
- 239000003814 drug Substances 0.000 claims description 4
- 238000013527 convolutional neural network Methods 0.000 claims description 3
- 230000007423 decrease Effects 0.000 claims description 3
- 238000001514 detection method Methods 0.000 claims description 3
- 238000003745 diagnosis Methods 0.000 claims description 3
- 229940079593 drug Drugs 0.000 claims description 3
- 238000007637 random forest analysis Methods 0.000 claims description 3
- 238000011282 treatment Methods 0.000 claims description 3
- 230000000306 recurrent effect Effects 0.000 claims description 2
- 230000002485 urinary effect Effects 0.000 claims description 2
- 238000012377 drug delivery Methods 0.000 claims 2
- 206010028980 Neoplasm Diseases 0.000 claims 1
- 239000008280 blood Substances 0.000 claims 1
- 210000004369 blood Anatomy 0.000 claims 1
- 238000004590 computer program Methods 0.000 claims 1
- 238000001839 endoscopy Methods 0.000 claims 1
- 238000004868 gas analysis Methods 0.000 claims 1
- 230000001575 pathological effect Effects 0.000 description 10
- 238000011156 evaluation Methods 0.000 description 9
- DDRJAANPRJIHGJ-UHFFFAOYSA-N creatinine Chemical compound CN1CC(=O)NC1=N DDRJAANPRJIHGJ-UHFFFAOYSA-N 0.000 description 4
- 238000000605 extraction Methods 0.000 description 4
- ZLMJMSJWJFRBEC-UHFFFAOYSA-N Potassium Chemical compound [K] ZLMJMSJWJFRBEC-UHFFFAOYSA-N 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 238000010606 normalization Methods 0.000 description 3
- 239000011591 potassium Substances 0.000 description 3
- 229910052700 potassium Inorganic materials 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 238000002562 urinalysis Methods 0.000 description 3
- 102000001554 Hemoglobins Human genes 0.000 description 2
- 108010054147 Hemoglobins Proteins 0.000 description 2
- DGAQECJNVWCQMB-PUAWFVPOSA-M Ilexoside XXIX Chemical compound C[C@@H]1CC[C@@]2(CC[C@@]3(C(=CC[C@H]4[C@]3(CC[C@@H]5[C@@]4(CC[C@@H](C5(C)C)OS(=O)(=O)[O-])C)C)[C@@H]2[C@]1(C)O)C)C(=O)O[C@H]6[C@@H]([C@H]([C@@H]([C@H](O6)CO)O)O)O.[Na+] DGAQECJNVWCQMB-PUAWFVPOSA-M 0.000 description 2
- 238000004820 blood count Methods 0.000 description 2
- 239000011575 calcium Substances 0.000 description 2
- 229910052791 calcium Inorganic materials 0.000 description 2
- 229940109239 creatinine Drugs 0.000 description 2
- 238000002790 cross-validation Methods 0.000 description 2
- 230000002489 hematologic effect Effects 0.000 description 2
- 239000011159 matrix material Substances 0.000 description 2
- 238000002483 medication Methods 0.000 description 2
- 238000000513 principal component analysis Methods 0.000 description 2
- 239000011734 sodium Substances 0.000 description 2
- 229910052708 sodium Inorganic materials 0.000 description 2
- 238000010561 standard procedure Methods 0.000 description 2
- 230000001225 therapeutic effect Effects 0.000 description 2
- BVKZGUZCCUSVTD-UHFFFAOYSA-M Bicarbonate Chemical compound OC([O-])=O BVKZGUZCCUSVTD-UHFFFAOYSA-M 0.000 description 1
- 108010074051 C-Reactive Protein Proteins 0.000 description 1
- 102100032752 C-reactive protein Human genes 0.000 description 1
- OYPRJOBELJOOCE-UHFFFAOYSA-N Calcium Chemical compound [Ca] OYPRJOBELJOOCE-UHFFFAOYSA-N 0.000 description 1
- WQZGKKKJIJFFOK-GASJEMHNSA-N Glucose Natural products OC[C@H]1OC(O)[C@H](O)[C@@H](O)[C@@H]1O WQZGKKKJIJFFOK-GASJEMHNSA-N 0.000 description 1
- JVTAAEKCZFNVCJ-UHFFFAOYSA-M Lactate Chemical compound CC(O)C([O-])=O JVTAAEKCZFNVCJ-UHFFFAOYSA-M 0.000 description 1
- 238000000342 Monte Carlo simulation Methods 0.000 description 1
- -1 O2 saturation Chemical compound 0.000 description 1
- XSQUKJJJFZCRTK-UHFFFAOYSA-N Urea Chemical compound NC(N)=O XSQUKJJJFZCRTK-UHFFFAOYSA-N 0.000 description 1
- 230000005856 abnormality Effects 0.000 description 1
- 230000001154 acute effect Effects 0.000 description 1
- WQZGKKKJIJFFOK-VFUOTHLCSA-N beta-D-glucose Chemical compound OC[C@H]1O[C@@H](O)[C@H](O)[C@@H](O)[C@@H]1O WQZGKKKJIJFFOK-VFUOTHLCSA-N 0.000 description 1
- 238000009534 blood test Methods 0.000 description 1
- 239000004202 carbamide Substances 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 210000003743 erythrocyte Anatomy 0.000 description 1
- 238000013210 evaluation model Methods 0.000 description 1
- 239000008103 glucose Substances 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 230000003862 health status Effects 0.000 description 1
- 238000005534 hematocrit Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 210000000265 leukocyte Anatomy 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 230000007170 pathology Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/40—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
Landscapes
- Engineering & Computer Science (AREA)
- Medical Informatics (AREA)
- Health & Medical Sciences (AREA)
- Public Health (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Software Systems (AREA)
- Biomedical Technology (AREA)
- Primary Health Care (AREA)
- General Health & Medical Sciences (AREA)
- Epidemiology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Mathematical Physics (AREA)
- Evolutionary Computation (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Computing Systems (AREA)
- Artificial Intelligence (AREA)
- Physics & Mathematics (AREA)
- Databases & Information Systems (AREA)
- Pathology (AREA)
- Investigating Or Analysing Biological Materials (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| DE102020214050.2 | 2020-11-09 | ||
| DE102020214050.2A DE102020214050A1 (de) | 2020-11-09 | 2020-11-09 | Computerimplementiertes Verfahren und Vorrichtung zum Durchführen einer medizinischen Laborwertanalyse |
| PCT/EP2021/079474 WO2022096297A1 (de) | 2020-11-09 | 2021-10-25 | Computerimplementiertes verfahren und vorrichtung zum durchführen einer medizinischen laborwertanalyse |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| JP2023548253A true JP2023548253A (ja) | 2023-11-15 |
Family
ID=78483263
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2023550352A Pending JP2023548253A (ja) | 2020-11-09 | 2021-10-25 | 医学検査値分析を実行するためのコンピュータ実装された方法、及び、装置 |
Country Status (5)
| Country | Link |
|---|---|
| EP (1) | EP4241284A1 (zh) |
| JP (1) | JP2023548253A (zh) |
| CN (1) | CN116490929A (zh) |
| DE (1) | DE102020214050A1 (zh) |
| WO (1) | WO2022096297A1 (zh) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102022114248A1 (de) | 2022-06-07 | 2023-12-07 | TCC GmbH | Verfahren sowie Vorhersagesystem zur Ermittlung der Eintrittswahrscheinlichkeit einer Sepsis eines Patienten |
| CN115165553B (zh) * | 2022-06-10 | 2023-05-30 | 中复神鹰碳纤维股份有限公司 | 一种碳纤维复丝拉伸强度测试数值的取舍方法 |
| EP4307309A1 (de) * | 2022-07-12 | 2024-01-17 | iunera GmbH & Co. KG | System, verfahren und anordnungen für das intelligente erstellen von ausgaben aufgrund von laborwerten und patientenmetadaten in dokumenten |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5967981A (en) | 1997-09-26 | 1999-10-19 | Siemens Corporate Research, Inc. | Time series prediction for event triggering |
| US20140149329A1 (en) | 2012-04-19 | 2014-05-29 | Stephen Shaw | Near real time blood glucose level forecasting |
| CN107203700B (zh) * | 2017-07-14 | 2020-05-05 | 清华-伯克利深圳学院筹备办公室 | 一种基于连续血糖监测的方法及装置 |
| JP2022500797A (ja) | 2018-09-07 | 2022-01-04 | インフォームド データ システムズ インコーポレイテッド ディー／ビー／エー ワン ドロップ | 血糖濃度の予測 |
-
2020
- 2020-11-09 DE DE102020214050.2A patent/DE102020214050A1/de active Pending
-
2021
- 2021-10-25 WO PCT/EP2021/079474 patent/WO2022096297A1/de active Application Filing
- 2021-10-25 JP JP2023550352A patent/JP2023548253A/ja active Pending
- 2021-10-25 EP EP21801453.8A patent/EP4241284A1/de active Pending
- 2021-10-25 CN CN202180075361.0A patent/CN116490929A/zh active Pending
Also Published As
| Publication number | Publication date |
|---|---|
| WO2022096297A1 (de) | 2022-05-12 |
| DE102020214050A1 (de) | 2022-05-12 |
| EP4241284A1 (de) | 2023-09-13 |
| CN116490929A (zh) | 2023-07-25 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Fu et al. | Development and validation of early warning score system: A systematic literature review | |
| JP2023548253A (ja) | 医学検査値分析を実行するためのコンピュータ実装された方法、及び、装置 | |
| JP6127160B2 (ja) | 個人化ヘルスケアシステム及び方法 | |
| US11664126B2 (en) | Clinical predictor based on multiple machine learning models | |
| AU2016278356A1 (en) | Method and system for assessing mental state | |
| EP2864918B1 (en) | Systems and methods for generating biomarker signatures | |
| WO2014033681A2 (en) | Modeling techniques for predicting mortality in intensive care units | |
| US20190311809A1 (en) | Patient status monitor and method of monitoring patient status | |
| JP6706627B2 (ja) | 集中治療室における臨床値の自動化された分析及びリスク通知のためのシステム | |
| WO2021205828A1 (ja) | 予後予測装置、及びプログラム | |
| CN112786203A (zh) | 一种机器学习糖尿病视网膜病变发病风险预测方法及应用 | |
| JP2020144471A (ja) | 予後予測システム、予後予測プログラム作成装置、予後予測装置、予後予測方法及び予後予測プログラム | |
| CA2885634C (en) | Device for detecting a dynamical network biomarker, method for detecting same, and program for detecting same | |
| JP5547639B2 (ja) | 診断マーカーの推定 | |
| WO2023106960A1 (ru) | Способ прогнозирования наступления медицинского события в здоровье человека | |
| Umut et al. | Prediction of sepsis disease by Artificial Neural Networks | |
| IL280496A (en) | Artificial intelligence for predicting laboratory test results | |
| EP4297038A1 (en) | Method and apparatus for analyzing biomarkers | |
| Razali et al. | Conceptual model for prediction of individual risk in developing colorectal cancer (CRC) using hybrid meta-analysis and machine learning techniques | |
| Vomanesh et al. | Detection and Classification of Leukaemia using Artificial Intelligence | |
| CN117711620A (zh) | 一种基于蛋白质的房颤发生风险预测系统及存储介质 | |
| EP4371121A1 (en) | Surgical warning | |
| Blokh et al. | The Utility of Information Theory Based Methods in the Research of Aging and Longevity | |
| CN117711619A (zh) | 一种糖尿病患者慢性肾脏病发生风险预测系统及存储介质 | |
| Dash et al. | Enhancing Disease Diagnosis: Statistical Analysis of Haematological Parameters in Sickle Cell Patients, Integrating Predictive Analytics |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| A521 | Request for written amendment filed |
Free format text: JAPANESE INTERMEDIATE CODE: A523 Effective date: 20230608 |
|
| A621 | Written request for application examination |
Free format text: JAPANESE INTERMEDIATE CODE: A621 Effective date: 20230508 |